echolocatoRAutomated statistical and functional fine-mapping pipeline with extensive API access to datasets.
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faster lmm dA faster lmm for GWAS. Supports GPU backend.
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gcMapExplorerGenome Contact Map Explorer - gcMapExplorer. Visit:
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FarmCPUppPerform GWAS using the FarmCPU model.
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clodiusClodius is a tool for breaking up large data sets into smaller tiles that can subsequently be displayed using an appropriate viewer.
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gchromVARCell type specific enrichments using finemapped variants and quantitative epigenetic data
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TADLibA Library to Explore Chromatin Interaction Patterns for Topologically Associating Domains
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dcHiCdcHiC: Differential compartment analysis for Hi-C datasets
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mustacheMulti-scale Detection of Chromatin Loops from Hi-C and Micro-C Maps using Scale-Space Representation
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hickitTAD calling, phase imputation, 3D modeling and more for diploid single-cell Hi-C (Dip-C) and general Hi-C
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lme4qtlMixed models @lme4 + custom covariances + parameter constraints
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GenAMapVisual Machine Learning of Genome-Phenome Associations
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qmplotA Python package for creating high-quality manhattan and Q-Q plots from GWAS results.
Stars: ✭ 25 (+66.67%)
docker-4dn-hicDocker for 4DN Hi-C processing pipeline
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instaGRAALLarge genome reassembly based on Hi-C data, continuation of GRAAL
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qtcatQuantitative Trait Cluster Association Test in R
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hierarchical-clusteringA Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
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HiC dataA (continuously updated) collection of references to Hi-C data. Predominantly human/mouse Hi-C data, with replicates.
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hicAnalysis of Chromosome Conformation Capture data (Hi-C)
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deepvismachine learning algorithms in Swift
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rvtestsRare variant test software for next generation sequencing data
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snpsea📊 Identify cell types and pathways affected by genetic risk loci.
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MAGMA CelltypingFind causal cell-types underlying complex trait genetics
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SumStatsRehabGWAS summary statistics files QC tool
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imputationserverMichigan Imputation Server: A new web-based service for imputation that facilitates access to new reference panels and greatly improves user experience and productivity
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vcf2gwasPython API for comprehensive GWAS analysis using GEMMA
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S-PCGCHeritability, genetic correlation and functional enrichment estimation for case-control studies
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PopLDdecayPopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format(VCF) files
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higlass-serverServer component for HiGlass that manages and serves tiled data
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genomediscoSoftware for comparing contact maps from HiC, CaptureC and other 3D genome data.
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coolpuppyA versatile tool to perform pile-up analysis on Hi-C data in .cool format.
Stars: ✭ 42 (+180%)
higlass-dockerBuilds a docker container wrapping higlass-server and higlass-client in nginx
Stars: ✭ 21 (+40%)
fastbapsA fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data
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Clustering-in-PythonClustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
Stars: ✭ 27 (+80%)
graphgroveA framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
Stars: ✭ 29 (+93.33%)
genieclustGenie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R
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NeuroSEEDImplementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
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